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BMCBI
2006
146views more  BMCBI 2006»
15 years 3 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
ISORC
2000
IEEE
15 years 8 months ago
Hierarchical Feedback Adaptation for Real Time Sensor-Based Distributed Applications
This paper presents an innovative hierarchical feedback adaptation method that efficiently controls the dynamic QoS behavior of real-time distributed data-flow applications, such ...
Mihaela Cardei, Ionut Cardei, Rakesh Jha, Allalagh...
EUROMICRO
2009
IEEE
15 years 7 months ago
Automated Feature Model-Based Generation of Refinement Transformations
Model-driven application engineering builds on the concept of model transformations. To weave additional refinement parts into an application model, so-called refinement transform...
Lucia Kapová, Thomas Goldschmidt
IKE
2010
15 years 1 months ago
Potential Application of Contextual Information Processing To Data Mining
Contextual processing is a new emerging field based on the notion that information surrounding an event lends new meaning to the interpretation of the event. Data mining is the pr...
Gregory Vert, Anitha Chennamaneni, S. Sitharama Iy...
ACCV
2009
Springer
15 years 10 months ago
Lorentzian Discriminant Projection and Its Applications
This paper develops a supervised dimensionality reduction method, Lorentzian Discriminant Projection (LDP), for discriminant analysis and classification. Our method represents the...
Risheng Liu, Zhixun Su, Zhouchen Lin, Xiaoyu Hou